What are some common unsupervised learning techniques?
Some common unsupervised learning techniques include clustering, dimensionality reduction, and anomaly detection.
Can you explain clustering in more detail?
Clustering is a technique that groups similar data points together based on their features, without prior labels.
What are some popular algorithms used for clustering?
Popular clustering algorithms include K-means, hierarchical clustering, and DBSCAN.
How does dimensionality reduction work?
Dimensionality reduction simplifies data by reducing the number of features while preserving important information.
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